Security Scan Report: enterpriseenrollment.mtzam.ucb.com

Redirected to:
https://login.microsoftonline.com/organizations/oauth2/v2.0/authorize?...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 10 IPs in 5 countries across 9 domains to perform 23 HTTP transactions. The main domain is ucb.com and was registered 29 years ago.

Submitted URL: https://enterpriseenrollment.mtzam.ucb.com

Effective URL:
https://login.microsoftonline.com/organizations/oauth2/v2.0/authorize?...
Redirected

The Cisco Umbrella rank of the primary domain is #491,877 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Redirect from an employer subdomain lands on the genuine Microsoft login.microsoftonline.com Azure/Intune auth endpoint with a valid OAuth flow; page content is Microsoft's own sign-in UI. The 'GitHub' brand flag comes from a federated sign-in option, not impersonation.

Safety Factors (5)
Final URL is the authentic login.microsoftonline.com domain (login.microsoftonline.com/organizations/oauth2/v2.0/authorize)
Form action posts to login.microsoftonline.com/common/login — same entity as the final page, no cross-origin credential capture
Standard Microsoft authentication page elements and Microsoft-owned script/CDN hosts
Employer subdomain ucb.com is an established, long-registered domain (approximately 24 years old)
No threat-intelligence matches, no hunting-rule hits, no IDS alerts, no credential exfiltration
Domain age information unavailable

Details

Page Title

Sign in to Microsoft Azure

Scan Type

public

Domain Name Analysis

You're looking at domain 'enterpriseenrollment.mtzam.ucb.com' on the commercial generic top-level domain (.com), featuring subdomain 'enterpriseenrollment.mtzam'. The registrable portion 'ucb' spans 3 characters split between 1 vowel and 2 consonants. It segments into 2 words: uc, b. Average segment length settles at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

BE Microsoft Sign in toccantine to Microsoft Azure Email, phone, or Skype No account? Create onet (Can’t access your account? Sign-in options Sign in with GitHub Gna GmyaaiD ao

Page Load Overview

1.91s
Total Load Time
831 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:187 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software77% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
77%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
540.126.31.67Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
213.74.111.192Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
2150.171.84.42Azure · CLOUDUnited States
AS8075Microsoft Corporation
240.74.98.199Azure · CLOUDOsaka, Osaka, Japan
AS8075Microsoft Corporation
220.190.160.3Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
223.207.210.136Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
252.178.17.235Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
213.107.246.61Azure · CLOUDUnited States
AS8075Microsoft Corporation
220.190.159.0Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
223.207.210.132Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2310--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T193935BEA7EF3193B868A55B5B5BA3D026E3A5903884CC964F14CCCC42FFA75D8123613

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:eRl3M8GLG2EDli9urSxQtWesTIZ9Tjuokmap5vPoMLuBo0fyiDEXax1:Q3M8DBi9urSxQtxs2a/Ahsax1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:93171:qDiooCAINARKEgAnqwAgyCRWDBA/IA6JVCYOCgJASBEK4QwIgQyCxgExICDgwQkJE0QWeC4yItlwUEHHMGiMACRASDYhAJAL

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:003a3f3f373fff00
Perceptual Hash:85d970f626d919e4
Difference Hash:c8e2d2d2e4cae6e7
Wavelet Hash:003a3b3f373f7700
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data